• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.20-29
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• 2021

In the Industry 4.0 era, artificial intelligence has attracted considerable interest for learning mass data to improve the accuracy of forecasting and classification. On the other hand, the current method of detecting anomalies relies on traditional statistical methods for a limited amount of data, making it difficult to detect accurate anomalies. Therefore, this paper proposes an artificial intelligence-based anomaly detection methodology to improve the prediction accuracy and identify new data patterns. In particular, data were collected and analyzed from the point of view that sensor data collected at vehicle idle could be used to detect abnormalities. To this end, a sensor was designed to determine the appropriate time length of the data entered into the forecast model, compare the results of idling data with the overall driving data utilization, and make optimal predictions through a combination of various sensor data. In addition, the predictive accuracy of artificial intelligence techniques was presented by comparing Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) as the predictive methodologies. According to the analysis, using idle data, using 1.5 times of the data for the idling periods, and using CNN over LSTM showed better prediction results.

• Journal of the Korea Society of Computer and Information
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• v.27 no.4
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• pp.231-239
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• 2022

In this paper, I analyze the difficulties of web service development education for non-IT majors through the Q&A of students posted in the k-mooc lecture, and propose methods to improve them. Through Q&A analysis, it was confirmed that non-majors mainly had difficulties in using unfamiliar tools, cost of cloud service, setting up server environment, and writing code while taking web service development courses. To solve this problem, I propose a method to reduce the server cost problem and the complexity of the server environment by using BaaS(Backend as a Service), which is one of the cloud service models. It also shows that it is possible to reduce the length of code that needs to be written at once by using the React library to modularize long code into smaller units. Finally, I propose an improvement plan that even non-IT majors can easily learn by implementing a web application that works by using the design output obtained by using Figma.

• Tunnel and Underground Space
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• v.32 no.3
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• pp.219-230
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• 2022

The Geo-Reservoir Experimental Analogue Technology (GREAT) cell was designed to recreate the thermal-hydro-mechanical conditions of deep subsurface in the laboratory. This apparatus can generate a polyaxial stress field using lateral loading elements, which rotate around the longitudinal axis of a sample and is capable of performing a fluid flow test for samples containing fractures. In the present study, numerical simulations were carried out for triaxial compression tests using the GREAT cell and the mechanical behavior of samples under different conditions of lateral loading was investigated. We simulated an actual case, in which triaxial compression tests were conducted for a polymer sample without fractures, and compared the results between the numerical analysis and experiment. The surface strain (circumferential strain) of the sample was analyzed for equal and non-equal horizontal confining pressures. The results of the comparison showed a good consistency. Additionally, for synthetic cases with a fracture, we investigated the effect of the friction and type of fracture surface on the deformation behavior.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.599-607
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• 2021

Street-view images, which are omnidirectional scenes centered on a specific location on the road, can provide various obstacle information for the pedestrians. Pedestrian network data for the navigation services should reflect the up-to-date obstacle information to ensure the mobility of pedestrians, including people with disabilities. In this study, the object detection model was trained for the bollard as a major obstacle in Seoul using street-view images and a deep learning algorithm. Also, a process for updating information about the presence and number of bollards as obstacle properties for the crosswalk node through spatial matching between the detected bollards and the pedestrian nodes was proposed. The missing crosswalk information can also be updated concurrently by the proposed process. The proposed approach is appropriate for crowdsourcing data as the model trained using the street-view images can be applied to photos taken with a smartphone while walking. Through additional training with various obstacles captured in the street-view images, it is expected to enable efficient information update about obstacles on the road.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.3
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• pp.443-448
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• 2022

This paper presents a subband affine projection algorithm with variable step size to improve convergence performance in adaptive filtering applications with long adaptive filters and highly correlated input signals. The proposed algorithm can obtain fast convergence speed and small steady-state error by using different step sizes for each adaptive sub-filter in the subband structure to which polyphase decomposition and noble identity are applied. The step size derived to minimize the mean square error of the adaptive filter at each update time shows better convergence performance than the existing algorithm using a variable step size. In order to confirm the convergence performance of the proposed algorithm, which is superior to the existing algorithm, computer simulations are performed for mean square deviation(MSD) for AR(1) and AR(2) colored input signals considering the system identification model.

• The Korea Journal of Herbology
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• v.30 no.2
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• pp.11-18
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• 2015

Objectives : Polygoni Multiflori Radix (Jeokhasuo in Korean) is a Oriental traditional herbs widely used in East Asian countries. Overconsumption of fructose results in hypertension, dyslipidemia, obesity and impaired glucose tolerance which have documented as a risk of cardiovascular diseases. This experimental study was designed to investigate the beneficial effects of an ethanol extract from Polygoni Multiflori Radix (PMR) in high-fructose (HF) diet-induced metabolic syndrome rat model. Methods : Sprague-Dawley (SD) rats were divided into three groups; Control group, receiving regular diet and tap water, HF group, and HF + PMR group both receiving supplemented with 65% fructose (n=10), respectively. The HF + PMR group initially received HF diet with PMR (100 mg/kg/day) for 8 weeks. Results : PMR significantly prevented the metabolic disturbances such as hyperlipidemia, hypertension and impaired glucose tolerance. Chronic treatment with PMR significantly decreased body weight, fat weight and adipocyte size, suggesting a role of anti-obesity effect. PMR led to improve the hyperlipidemia through the increase in HDL cholesterol level as well as the decrease in triglyceride and LDL cholesterol level. In addition, PMR suppressed adhesion molecules and endothelin-1 (ET-1) expression in aorta resulting in the decrease of hypertension. In muscle tissue, PMR significantly recovered the HF-induced insulin resistance through increase of insulin receptor substrate-1 (IRS-1), p-$AMPK{\alpha}1/2$, and p-Akt expression. PMR improved HF-induced metabolic disorders and its action was caused by energy metabolism-mediated insulin signaling activation. Conclusions : These results demonstrate that PMR may be a beneficial therapeutic for metabolic syndrome through the improvement of hyperlipidemia, obesity, insulin resistance and hypertension.

• Herbal Formula Science
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• v.30 no.3
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• pp.123-135
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• 2022

Oryeongsan (ORS), a formula composed of five herbal medicines, has long been used to treat impairments of the regulation of body fluid homeostasis. The purpose of this study was to determine the antihypertensive and renal protective effects of ORS in rats with hypertension. Spontaneously hypertensive rats (SHR) were divided into two groups with similar mean baseline systolic blood pressure (SBP). Then, 1 mL/kg of vehicle (distilled water) or 1.5, 3 g/kg of ORS extract were administered orally once a day for 4 weeks. SBP and diastolic blood pressure (DBP) were measured at weeks 1, 2, 3 and 4. At the end of the experiment, blood was collected, and heart were removed for histology. By the 2 weeks after initiation of treatment, the ORS treated group had significantly lower SBP than SHR rats. The ORS treatment significantly improved blood pressure and echocardiogram parameters compared to hypertensive rats. Additionally, the left ventricular (LV) remodeling and LV dysfunction were significantly improved in ORS treated group hypertensive rats. Furthermore, an increase in fibrotic area has been observed in SHR rats compared with Wistar-Kyoto rats (WKY). Furthermore, administration of ORS significantly attenuated cardiac fibrosis in hypertensive rats. Therefore, these findings suggest that ORS has a protective effect on heart failure by alleviating hypertensive heart disease and cardiovascular dysfunction in SHR.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.497-497
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• 2022

홍수위험지도는 홍수발생시 예방되는 침수범위와 침수깊이를 나타내는 지도로 2009년 영산강수계(237.53 km), 2016년에 섬진강수계(251.06 km) 국가하천의 홍수위험지도가 제작되었고, 2021년 영산·섬진강권역 지방하천(4521.31 km) 홍수위험지도가 제작됨으로써 영산·섬진강권역 홍수위험지도 제작이 모두 완료되었다. 홍수위험지도 제작은 GIS 범람해석, 1차원 및 2차원 수치모형으로 구분할 수 있따. GIS 범람해석은 제내지의 지형 수치표고모델(DEM) 등을 활용하여 지형자료를 구축하고, 측점별 홍수위를 이용한 홍수위 DEM을 작성한 후 각 DEM의 고도차를 계산하여 홍수범람구역을 도시하는 방법이다. 도심지 또는 주거지를 관류하는 하천에 대해서는 제방의 편안 파제를 가정하여 FLUMEN모형을 이용한 2차원 범람분석 또는 HEC-RAS모형을 이용한 1차원 범람분석 방법 적용한다. 위와 같은 분석 방법으로 도출된 침수 결과는 제방 월류 및 제방 유실 등의 극한 상황을 가정한 것으로, 2020년 섬진강 대홍수 홍수피해 침수구역과 홍수위험지도의 침수구역의 겨의 일치하는 것으로 나타났다. 즉 하천홍수로 발생할 수 있는 피해의 규모를 예측할 수 있으며, 이러한 예측정보는 방재계획 수립 및 홍수대응에 활용도가 높을 것이다. 홍수위험지도는 홍수위험지도정보시스템(www.floodmap.go.kr)에서 누구나 확인이 가능하며, 지자체 방재담당자는 회원가입을 통해 홍수위험지도 전산파일 및 보고서 등을 받을 수 있다. 방재담당자는 홍수위험지도의 침수구역을 바탕으로 대피계획을 수립하고, 집중호우로 인한 하천수위 상승 시 홍수위험지도의 침수구역을 중심으로 방재활동을 하여 인명피해를 최소화할 수 있을 것이다.

• The Korea Journal of Herbology
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• v.24 no.4
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• pp.55-62
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• 2009

Objectives : This study was designed to investigate the effects of an aqueous extract from Buddleja officinalis Maxim (ABO) on vascular dysfunction in low-density lipoprotein receptor deficient (LDLr KO) mice. Methods : Present study showed that LDLr KO mice were fed a high fat diet consisting of 60 kcal% fat, with or without 200 mg/day/kg ABO of diet, for 14 weeks. Results : High fat diet-LDLr KO mice were treated with ABO were completely normalized by lowering glucose. ABO reduced intima/media thickness in a high fat diet-LDLr KO mice without affecting plasma cholesterol and triglyceride levels. ABO caused endothelium-dependent relaxation in the acetylcholine-precontracted aorta of high fat diet-LDLr KO mice. ABO increased eNOS expression, while decreased cell adhesion molecules expression in high fat diet-LDLr KO mice. Conclusions : In conclusion, chronic treatment with ABO improved hyperglycemia and endothelium-dependent vascular relaxation as well as exhibited anti-inflammatory effect in diabetic atherosclerotic mouse model, independent of effects on plasma lipids.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.1
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• pp.867-874
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• 2018

This study aims to develop a sort of expert system to simulate Internet of Things (IoT) service in architectural design alternatives and enhance the simulation performance using building information. The proposed protype system, named iotBIM, visualizes human behaviors and IoT services in a virtual place that is automatically generated from among design alternatives. We use commercial building information modeling (BIM) authoring tool for the development of iotBIM. The decision to develop iotBIM on the BIM platform was made because BIM tools already generate precise 3D models of design alternatives; iotBIM is plugged into the BIM tool as a simulation module. In the midst of the design process, architectural designers can activate iotBIM to investigate and establish IoT services that accord visually with design alternatives. The purpose of this study is to provide a theoretical and technological basis for the ultimate goal of this study.